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通过电细胞基质阻抗传感(ECIS)在线测量由多组分基质(如天然产物)诱导的实时细胞毒性反应。

Online Measurement of Real-Time Cytotoxic Responses Induced by Multi-Component Matrices, such as Natural Products, through Electric Cell-Substrate Impedance Sensing (ECIS).

作者信息

Fallarero Adyary, Batista-González Ana E, Hiltunen Anna K, Liimatainen Jaana, Karonen Maarit, Vuorela Pia M

机构信息

Discipline of Pharmaceutical Biology, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, 00014 Helsinki, Finland.

Department of Microbiology and Immunology, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY 10461, USA.

出版信息

Int J Mol Sci. 2015 Nov 12;16(11):27044-57. doi: 10.3390/ijms161126014.

Abstract

Natural products are complex matrices of compounds that are prone to interfere with the label-dependent methods that are typically used for cytotoxicity screenings. Here, we developed a label-free Electric Cell-substrate Impedance Sensing (ECIS)-based cytotoxicity assay that can be applied in the assessment of the cytotoxicity of natural extracts. The conditions to measure the impedance using ECIS were first optimized in mice immortalized hypothalamic neurons GT1-7 cells. The performance of four natural extracts when tested using three conventional cytotoxicity assays in GT1-7 cells, was studied. Betula pendula (silver birch tree) was found to interfere with all of the cytotoxicity assays in which labels were applied. The silver birch extract was also proven to be cytotoxic and, thus, served as a proof-of-concept for the use of ECIS. The extract was fractionated and the ECIS method permitted the distinction of specific kinetic patterns of cytotoxicity on the fractions as well as the extract's pure constituents. This study offers evidence that ECIS is an excellent tool for real-time monitoring of the cytotoxicity of complex extracts that are difficult to work with using conventional (label-based) assays. Altogether, it offers a very suitable cytotoxicity-screening assay making the work with natural products less challenging within the drug discovery workflow.

摘要

天然产物是复杂的化合物基质,容易干扰通常用于细胞毒性筛选的依赖标记的方法。在此,我们开发了一种基于无标记细胞-基质阻抗传感(ECIS)的细胞毒性测定方法,可用于评估天然提取物的细胞毒性。首先在永生化小鼠下丘脑神经元GT1-7细胞中优化了使用ECIS测量阻抗的条件。研究了四种天然提取物在GT1-7细胞中使用三种传统细胞毒性测定方法进行测试时的性能。发现垂枝桦(白桦树)会干扰所有使用标记的细胞毒性测定。白桦提取物也被证明具有细胞毒性,因此可作为使用ECIS的概念验证。对提取物进行了分级分离,ECIS方法能够区分各馏分以及提取物纯成分的特定细胞毒性动力学模式。这项研究表明,ECIS是实时监测复杂提取物细胞毒性的优秀工具,而使用传统(基于标记)测定方法处理这些提取物很困难。总之,它提供了一种非常合适的细胞毒性筛选测定方法,使在药物发现工作流程中处理天然产物的工作难度降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd06/4661872/ea84a375448c/ijms-16-26014-g001.jpg

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